Microbial Ecology Metagenomics Analysis

Microbial Ecology Metagenomics Analysis

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As one of the providers of microbial ecology metagenomics analysis, CD Genomics uses bioinformatics to help you study entire communities containing a wide range of non-culturable microorganisms with the aim of gaining a deeper understanding of the ecology and evolution of microorganisms in the environment. Our high-quality data analysis platform will be used to generate high-quality analysis results in a fast analysis cycle.

Research Advances in Microbial Ecology Metagenomics Analysis

Microbial ecology is a field that explores the interactions, dynamics and functions of microorganisms in different ecosystems. Traditional culture-based methods including DNA hybridization (e.g., microarray and fluorescent in situ hybridization), DNA cloning, and PCR have been used to detect specific member and/or functional genes in microbial communities. More recently, metagenomics and amplicon sequencing approaches allow for larger scale and more detailed identification of member and/or functional genes, allowing for the revelation of the presence of extreme microbes, the relationship between microbes and human diseases, and the trophic systems involved in symbiosis. Bioinformatics analysis has made it possible to mine metagenomic datasets and to discover general patterns controlling microbial ecosystems.

Fig. 1. Taxonomic classification of eukaryotic microbes using 18S amplicon sequencing.Fig. 1. Schematic figure of metagenomic and bioinformatic analyses in microbial ecology. (Hiraoka S, et al, 2016)

Application Field

Our microbial ecology metagenomics analysis can be used for but not limited to the following research:

Environmental monitoring and evaluation: by analyzing the taxonomic and functional composition of microbial communities, metagenomics allows for comprehensive environmental monitoring. Our researchers can help you assess the impact of pollutants, climate change and other factors on microbial diversity and ecosystem health.

Bioremediation and biotechnology: our microbial ecology metagenomics bioinformatics analyses play a critical role in exploring the potential of microbial communities to bioremediate contaminated environments. We can help you identify functional genes and metabolic pathways involved in contaminant degradation and develop novel enzymes and metabolic pathways for use in biotechnology.

Agriculture and soil science: our microbial ecology metagenomics can characterize soil microbial communities, their interactions with plants, and their role in nutrient cycling. CD Genomics' analytical services help improve crop productivity, soil fertility and develop environmentally friendly agricultural practices.

Human health and disease: by studying microbial communities in the human gut, mouth and other body parts, our researchers can help you determine the association between specific microbial taxa or functions and various health conditions.

CD Genomics Data Analysis Pipeline:

CD Genomics is a leading company focused on genomic services, offering a full range of services in microbial ecology metagenomics bioinformatics analysis. With state-of-the-art technology and expertise, CD Genomics enables researchers to unravel complex microbial communities and understand their function in a variety of ecosystems. Our services cover the entire workflow of microbial ecology metagenomics analysis from pre-processing to data analysis.

(1) Quality control and pre-processing

CD Genomics performs rigorous quality control checks on raw sequencing data to ensure its reliability. Pre-processing steps, including read trimming, filtering and error correction, are applied to improve data quality and minimize artifacts that may affect downstream analysis.

(2) Taxonomy and functional annotation

The preprocessed data are then analyzed taxonomically, where bioinformatics tools compare sequences with a reference database to identify microbial taxa present in the community. This is followed by functional annotation, where putative functions are assigned to identified genes and pathways based on existing knowledge databases.

(3) Metagenome assembly and crating

To gain a deeper understanding of the microbial community, CD Genomics performs metagenome assembly to reconstruct a genome sketch from macrogenomic data. Our technical team uses sophisticated algorithms to assemble fragmented sequences into contigs and further bins these overlapping groups to assign them to specific taxa.

(4) Comparative analysis and interpretation

CD Genomics performs comparative analysis by comparing the genomes, functional profiles and taxonomic composition of assemblies in different samples or ecosystems. This step helps to identify similarities, differences and ecological patterns, providing insights into the ecological function and dynamics of microbial communities.

(5) Report generation and consultation

Finally, CD Genomics generates a comprehensive report summarizing the findings and interpretations from the microbial ecology metagenomics bioinformatics analysis.

Microbial Ecology Metagenomics Analysis Content:

Estimating Community Metabolism Sequence similarity searches are performed against pathway databases and the findings obtained are used to annotate metabolic genes.
Analysis of Genomic Structural Variation and Dynamics Detection of regions of variation from metagenomic sequences to reveal the growth dynamics of microorganisms in communities.
Comprehensive Analysis of Interspecies Interactions Use data from large-scale metagenomics to study co-occurrence between microbes, hosts and/or viruses.

How It Works

CD Genomics is a high-tech company specializing in multiomic data analysis. We provide services such as project design, data analysis, and database construction. With a focus on developing breakthrough products and services, we are a pioneer in the biotechnology industry, serving researchers and partners worldwide.

How It Works

CD Genomics offers comprehensive microbial ecology metagenomics bioinformatics analysis services to explore microbial community diversity, function and dynamics in diverse ecosystems. If you are interested in our services, please contact us for more detailed information.


  1. Hiraoka S, Yang CC, Iwasaki W. Metagenomics and Bioinformatics in Microbial Ecology: Current Status and Beyond. Microbes Environ. 2016 Sep 29;31(3):204-12.
* For Research Use Only. Not for use in diagnostic procedures.
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